yongge-restaurant-skill: 勇哥餐饮.skill — 用勇哥方法论武装的餐饮创业决策 Agent Skill。含完整语料库、30+ 案例、保本线计算器

by Astro-wen · Agent Tool · ★ 66

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How to install yongge-restaurant-skill

git clone https://github.com/Astro-wen/yongge-restaurant-skill

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 61/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars66
Forks9
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score61/100
Open Issues1
Last Updated2026-05-07
Created2026-05-06
Platformspython
Est. Tokens~10k

About yongge-restaurant-skill

勇哥餐饮.skill 来,镜头高一点,360 度原地转个圈。 —— 勇哥 把抖音、B 站「勇哥餐饮创业说」(梁朝勇)几百场连麦里沉淀下来的方法论、案例、金句和选址观察清单,蒸馏成一个 LLM / Agent 可以直接加载的 Skill。 它不复读金句,它用勇哥的认知框架替你算清楚一笔账。基于 9 篇方法论文档、22 个真实失败案例、5 个成功案例、100+ 条带出处的金句、12 项街景打分维度、3 个零依赖 Python 工具。 [看效果 · 快速接入 · 蒸馏了什么 · 调研来源 ] 看效果 场景 1 · 县城三楼奶茶店求救 调用了:保本线计算器、案例匹配器、诊断 SOP A.2 三档结论。 场景 2 · 360 度转一圈 用户 ❯ [上传一段街景视频] 勇哥 ❯ 来,过一遍清单。 门头宽度 1.8m 绿 台阶 3 级 红 每级少 30% 进店 阴阳街 朝西下午晒 黄 转让密度...

Compatible Skills

These tools work well together with yongge-restaurant-skill for enhanced workflows:

  • EasyLastSkill — semantic(0.59)+complementary+same_lang+similar_pop+shared_platform (71%)
  • claude-skills — semantic(0.22)+complementary+shared_fw(anthropic)+same_lang+similar_pop+shared_platform (66%)
  • awesome-claude-skills — semantic(0.22)+complementary+shared_fw(anthropic)+same_lang+similar_pop+shared_platform (66%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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